Abstract
A novel method of near-field computer vision (NFCV) was developed to monitor the jet trajectory during the jetting process, which was used to precisely predict the falling point position of the jet trajectory. By means of a high-resolution webcam, the NFCV sensor device collected near-field images of the jet trajectory. Preprocessing of collected images was carried out, which included squint image correction, noise elimination, and jet trajectory extraction. The features of the jet trajectory in the processed image were extracted, including: start-point slope (SPS), end-point slope (EPS), and overall trajectory slope (OTS) based on the proposed mean position method. A multiple regression jet trajectory range prediction model was established based on these trajectory characteristics and the reliability of the model was verified. The results show that the accuracy of the prediction model is not less than 94% and the processing time is less than 0.88 s, which satisfy the requirements of real-time online jet trajectory monitoring.
Highlights
With public safety requirements becoming increasingly important in various countries, fire safety equipment is being developed in terms of automation and intelligence [1,2]
150 sets of data including start-point slope (SPS), end-point slope (EPS), overall trajectory slope (OTS), and the actual range of the jet trajectory were obtained for prediction model creation, and the other 30 sets of data were used for model validation
A novel near-field computer vision (NFCV) method is proposed for real-time monitoring of the jet trajectory during jetting by computer vision
Summary
With public safety requirements becoming increasingly important in various countries, fire safety equipment is being developed in terms of automation and intelligence [1,2]. More and more urban complexes are required to have automatic fire suppression systems installed, and various types of fire-fighting vehicles are required to continuously improve their automation level [3,4,5]. During the fire-fighting process, identification and location of the fire source and automatic control of the jet trajectory falling position are the most crucial parts of the automatic fire suppression system [6,7,8]. There are a lot of investigations into the identification and location of fire sources, while few studies on jet trajectory have been carried out. The process of fire-fighting is very complicated, these areas being full of smoke, toxic gas, high temperatures, and the possibility of explosion
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